A dynamical systems approach for the submaximal prediction of maximum heart rate and maximal oxygen uptake-Reference-Cited by-同舟云学术

A dynamical systems approach for the submaximal prediction of maximum heart rate and maximal oxygen uptake

Published:2017-07-15 Issue:1 Volume:21 Page:31-41
ISSN:1369-7072
Container-title:Sports Engineering
language:en
Short-container-title:Sports Eng

Author:

Mazzoleni Michael J.^ORCID,Battaglini Claudio L.,Martin Kerry J.,Coffman Erin M.,Ekaidat Jordan A.,Wood William A.,Mann Brian P.

Funder

National Aeronautics and Space Administration

North Carolina Space Grant

Army Research Office

Publisher

Springer Science and Business Media LLC

Subject

Mechanical Engineering,Mechanics of Materials,Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine,Modelling and Simulation,Biomedical Engineering

Link

http://link.springer.com/article/10.1007/s12283-017-0242-1/fulltext.html

Reference39 articles.

1. Akalan C, Robergs RA, Kravitz L (2008) Prediction of $${\dot{\rm V}{\rm O_{2max}}}$$ from an individualized submaximal cycle ergometer protocol. J Exerc Physiol Online 11(2):1–17

2. de Araújo CGS, Duarte CV (2015) Maximal heart rate in young adults: a fixed 188 bpm outperforms values predicted by a classical age-based equation. Int J Cardiol 184:609–610. doi: 10.1016/j.ijcard.2015.02.043

3. Arena R, Myers J, Kaminsky LA (2016) Revisiting age-predicted maximal heart rate: can it be used as a valid measure of effort? Am Heart J 173:49–56. doi: 10.1016/j.ahj.2015.12.006

4. Asteroth A, Hagg A (2015) How to successfully apply genetic algorithms in practice: representation and parametrization. In: Proceedings of the 2015 international symposium on innovations in intelligent systems and applications. doi: 10.1109/INISTA.2015.7276778

5. Barstow TJ, Mole PA (1991) Linear and nonlinear characteristics of oxygen uptake kinetics during heavy exercise. J Appl Physiol 71(6):2099–2106

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Kinematic and Physiological Analysis of Medieval Combat Sport Using Motion Analysis, Blood Lactate Measurement, and Heart Rate Monitoring: A Case Study;Sensors;2024-05-27

2. Modeling personalized heart rate response to exercise and environmental factors with wearables data;npj Digital Medicine;2023-11-15

3. Enhancing instantaneous oxygen uptake estimation by non-linear model using cardio-pulmonary physiological and motion signals;Frontiers in Physiology;2022-08-25

4. Predicting oxygen uptake responses during cycling at varied intensities using an artificial neural network;Biomedical Human Kinetics;2019-01-01